Executive Summary
A guide to identity and access management for AI agents, which authenticate, call tools and act across enterprise systems with delegated authority.
What Happened
What is IAM for AI agents? AI agents authenticate, invoke tools, and act across enterprise systems with delegated authority. IAM for AI Agents is the identity-control architecture that governs those actors. This guide covers the limits of conventional provisioning, the components that matter, how to evaluate framework choices, and what runtime evidence proves an agent behaved as intended.
Vulnerability / Attack Technique
Not applicable (IAM framework guidance)
Technical Mechanism
The guide covers provisioning limits, framework components and runtime evidence of agent behaviour rather than an attack.
AI Security Category
LLM06:2025 Excessive Agency
Part of the AI Agent Excessive Agency topic.
Relevant Frameworks
RealGround Analysis
Agent identity is becoming its own discipline. RealGround analysis: delegated authority needs scoping and runtime evidence, not just provisioning.
Recommended Controls
- Give agents their own identities with scoped, delegated permissions
- Collect runtime evidence of agent actions
Related RealGround Service
AI Agent Business Logic Audit · or start with the free AI Agent Security Scanner.
Sources
thehackernews.com: https://thehackernews.com/2026/09/iam-for-ai-agent.html
Summary and analysis written by RealGround from the source above; last updated 2026-10-17.